Theory of categorization based on distributed memory storage

Conducted 2 experiments to test a model of categorization developed by the authors. The distributed memory model is an alternative to probabilistic and exemplar models of categorization, and it is based on the assumption of distributed memory storage. The model is presented in the context of previou...

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Bibliographic Details
Published in:Journal of experimental psychology. Learning, memory, and cognition memory, and cognition, 1984-10, Vol.10 (4), p.616-637
Main Authors: Knapp, Andrew G, Anderson, James A
Format: Article
Language:English
Subjects:
Biological and medical sciences
Classification (Cognitive Process)
Conditioning
Fundamental and applied biological sciences. Psychology
Human
Human Information Storage
Learning. Memory
Memory
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
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Summary:Conducted 2 experiments to test a model of categorization developed by the authors. The distributed memory model is an alternative to probabilistic and exemplar models of categorization, and it is based on the assumption of distributed memory storage. The model is presented in the context of previously conducted studies using stimuli composed of random dots. When the number of exemplars of the stimulus patterns is small, new dot patterns are classified according to their similarity to learned exemplars; when the number is large, accuracy depends on a dot pattern's similarity to a prototype pattern. In Exp I of this study ( n  = 10), perceived similarity was measured between 2 dot patterns, one a distortion of the other. In Exp II ( n  = 21), groups of exemplar patterns derived from a category prototype were classified together in a category-learning task. Results show that the model correctly predicted the quantitative and qualitative findings of the 2 experiments. (42 ref)
ISSN:0278-7393
1939-1285
DOI:10.1037/0278-7393.10.4.616